Several studies previously have attempted to deal with the problem of abusive language [1]}, [2]} and threat detection [3]}, [4]}. These problems have been attempted through supervised machine learning [5]}, [6]}, [7]} and deep learning [8]}, [9]}, [10]} approaches breaking it down into binary, multi-label, or multi-class classification problems. However, these attempts are only limited to European languages, Arabic, and a few South Asian languages such as Hindi, Bengali, and Indonesian.
